1341 results about "Supply management" patented technology

The invention provides a self-adaptive power supply energy-saving configuration method and system based on energy gradient utilization, and relates to the technical field of power supply management, and the method comprises the steps: collecting the operation parameters of electric equipment, building a power utilization model, and carrying out the self-adaptive correction; constructing a multi-stage energy distribution matrix according to the corrected power utilization model, and performing energy efficiency grading on the power utilization equipment; performing spatial-temporal feature extraction by adopting a bidirectional attention mechanism, generating an electric equipment priority strategy in combination with a self-calibration network, and further calculating an energy distribution proportion of each level of electric equipment; and finally, generating a control signal according to the energy distribution proportion, adjusting the power supply power of each stage of electric equipment, distributing the exceeded power to the electric equipment with the secondary high energy conversion efficiency when the power value exceeds a target power threshold value, and outputting a self-adaptive energy balance control instruction according to the prediction control model to adjust the operation state of the electric equipment.

The invention provides an RFID-based power supply management method for a tilt angle sensor of a power tower, and the method comprises the steps: employing a support vector machine and a decision tree, analyzing the historical operation data of the tower, building a tower fault prediction model, predicting the state of the tower through the tower fault prediction model, and obtaining the fault probability and time of the tower; according to a tower fault prediction result, a preventive maintenance plan is made, priority maintenance is arranged for the tower with the fault probability larger than a preset threshold value, and a power supply strategy is adjusted in advance for the tower predicted to have a fault, and load pressure is reduced; a tower group intelligent power supply management system is adopted, state information and a power supply strategy of a single tower are integrated into a whole power grid, the power supply load of each tower is dynamically adjusted through a load balancing algorithm, and for a tower in a dangerous state, the power supply load of the tower is reduced, and the load is transferred to a tower in a good state.

The invention discloses a power supply management method and system based on a new energy charging pile, and relates to the technical field of power supply management, and the method comprises the steps: collecting power supply source data, calculating a charging pile power supply risk, calculating a risk weight through an entropy weight method, and constructing a two-stage LSTM model to predict photovoltaic power generation and EV demand data. And determining the power supply priority of the charging pile based on the risk weight, constructing a dynamic energy distribution model, determining the power distribution of a power supply source by using a Pareto optimization algorithm, and carrying out charging power distribution by using a stable matching algorithm according to a utility function. According to the method, influence degrees of photovoltaic power generation fluctuation risks, energy storage performance risks and power grid price fluctuation risks are quantified through entropy calculation, importance of risk indexes is accurately reflected as weights, data optimization of an input layer of a double-stage LSTM model is guided, the risk indexes are brought into priority calculation, the power supply weight of high-risk energy is reduced, and the power supply efficiency is improved. And power supply fluctuation or cost increase caused by high risk is avoided.

The invention relates to the technical field of new energy supply management, in particular to a charging pile background management system and method. The method comprises the steps of obtaining photovoltaic output, an energy storage state and charging load data, completing time alignment and normalization processing, and constructing a unified data input structure; configuring a photovoltaic priority strategy and energy storage scheduling parameters based on the structure, constructing and solving a multi-energy power supply optimization model, and generating a power supply scheduling output result; combining the electricity price sequence to identify peak and valley time periods, generating an arbitrage label, and further generating an energy storage charging and discharging control strategy and an energy storage regulation and control instruction structure; issuing a control instruction, collecting execution data, and generating an energy consumption deviation feedback structure; and finally, realizing adaptive closed-loop correction of the scheduling model based on a feedback structure. According to the invention, the photovoltaic utilization rate can be improved, peak-valley arbitrage and energy storage cooperative control is realized, the power supply cost of the charging station is significantly reduced, and the system scheduling precision and operation stability are enhanced.

The invention discloses a power cable intelligent segmentation management method and system, and belongs to the field of power supply management, and the method comprises the steps: setting a first time sequence segmentation influence coefficient and a second time sequence segmentation influence coefficient, and building a dynamic decision node; acquiring cable layout information of a to-be-monitored power cable; configuring a backtracking time window, and establishing backtracking basic parameters of the power cable to be monitored; according to the backtracking basic parameters, adaptive analysis of balancing task requirements and balancing climate influences is carried out, and a first clustering constraint is generated based on an adaptive analysis result; and establishing a first clustering constraint according to the cable layout information, establishing a second clustering constraint according to the cable layout information, establishing a dynamic segmentation strategy according to the first clustering constraint, the second clustering constraint and the dynamic decision node, allocating an edge joint early warning network, and executing segmentation management based on the edge joint early warning network. A segmentation strategy is dynamically generated based on multi-dimensional data, precise and intelligent early warning and management of the power cable are realized, and the early warning response speed and accuracy are improved.

The invention relates to the field of energy storage power supply management, in particular to a power supply management method, system and equipment based on a household energy storage power supply system. The method comprises the following steps: collecting a household power utilization monitoring data stream, carrying out equipment use behavior preference mining and multi-scale state transition deep learning, and generating a user equipment behavior prediction model; mining power utilization behaviors of power utilization terminals one by one based on the household power utilization monitoring data flow, performing multi-time-point power utilization demand prediction based on a user equipment behavior prediction model, and constructing a multi-time-point power utilization demand prediction map of the user; and obtaining meteorological environment parameters of a current user family area, performing climate disturbance demand adjustment on the power demand prediction maps at the multiple time points based on the meteorological environment parameters, and constructing a climate disturbance power demand prediction map. According to the invention, through dynamic user demand changes, the energy efficiency management level and the energy allocation precision of long-term operation of the energy storage system are improved.

The invention provides a self-adaptive power supply management and control method and device for a self-powered intelligent door lock, and relates to the technical field of door lock power supply management and control. Performing classification identification and training fusion on the data set by using a recurrent neural network, and constructing an electric quantity consumption adaptive prediction network; acquiring the door lock electric quantity and the working state to perform electric quantity consumption prediction in a preset time window; constructing a power supply control strategy library, matching with the strategy library based on the electric quantity prediction consumption parameter and the current electric quantity state, and determining a power supply control strategy; the door lock electric quantity prediction consumption parameters are optimized and analyzed, door lock power supply strategy control parameters are obtained, self-adaptive power supply management and control are conducted on the door lock, the technical problems that an existing self-powered intelligent door lock is unstable in electric quantity and difficult to accurately predict and effectively manage are solved, efficient utilization and intelligent scheduling of the electric quantity of the door lock are achieved, and the safety of the door lock is improved. And the autonomous power supply capability and the operation efficiency of the door lock system are improved.

The invention discloses a cleaning robot navigation system, which comprises a central control unit, a sensor module, a motion control system, a cleaning assembly, a communication assembly, a safety and diagnosis module and a battery and power supply management module, and is characterized in that the sensor module comprises a laser radar, an ultrasonic sensor, a visual camera and an inertial measurement unit; the laser radar is used for environment scanning and obstacle detection, the ultrasonic sensor is used for close-range obstacle detection, the visual camera is used for image processing and ground analysis, and the inertial measurement unit is used for attitude and position detection. A series of innovative technologies such as advanced sensor technology, data fusion, path planning, dynamic obstacle avoidance, cleaning task optimization and the like are combined, and a plurality of problems faced by an existing cleaning robot are solved. According to the technical scheme, the cleaning robot can be remarkably improved in the aspects of environment perception, navigation precision, cleaning efficiency, task optimization and the like.

The invention provides an intelligent power supply management system based on multi-energy complementation, which relates to the technical field of intelligent power supply management and comprises a multi-energy supply module, a data acquisition module, a multi-source data fusion module, a scheduling optimization module, a demand prediction and response module, a supply safety evaluation module, an energy storage and load balancing module and an energy scheduling module. The multi-energy supply module comprises a solar energy supply sub-module, a wind energy supply sub-module, an energy storage system and a traditional power grid access sub-module, and by combining multi-source data and an advanced algorithm, the precision of power load prediction is remarkably improved. Compared with a traditional prediction method based on historical data, the method comprehensively considers the influence of various external factors such as climate change, holidays and festivals, and can more accurately predict the power demand fluctuation. The system can dynamically adjust the load prediction model in real time, improves the reliability of power supply, and can effectively cope with challenges caused by demand changes, environment changes and emergencies.

The invention discloses a BOM reconstruction method for large equipment manufacturing, and relates to the field of digitization. The BOM reconstruction method for large equipment manufacturing comprises the following steps: step 1, enterprise evaluation: according to the data size of enterprise development equipment, the enterprise scale, the enterprise supply management mode and the project division characteristics, evaluating an enterprise; and 2, according to the characteristics of different enterprises, dividing the construction paths into an EBOM-PBOM-MBOM construction path, an EBOM-MBOM construction path and an EBOM-PBOM construction path. According to the large-scale equipment manufacturing BOM reconstruction method, each enterprise plans and manufactures BOM according to the characteristics of developed product data size, enterprise scale, enterprise supply management mode and project division, and effective management of manufacturing end process data is realized by an optimal, most convenient and most economical process configuration management scheme; by taking effective management of product development process data as a starting point, a reconstruction mode and architecture of PBOM and MBON are planned.

The invention discloses a power supply rapid charging pulse current regulation and control system and method based on current monitoring, and particularly relates to the technical field of power supply management. The method comprises the following steps: acquiring a pulse current signal in a battery charging process, performing nonlinear decoupling analysis, and decomposing the pulse current signal into a first characteristic sub-vector representing a real charging state of the battery and a second characteristic sub-vector representing a high-frequency harmonic interference state; predicting the change trend of the electrochemical impedance of the battery based on the first feature sub-vector to form an instant charging acceptance evaluation index, and evaluating the harmonic interference degree based on the second feature sub-vector to form a charging state misjudgment risk level index; based on the battery instant charging acceptance assessment index and the battery charging state misjudgment risk grade index, the optimal pulse current regulation and control strategy is determined, the power output parameters are adjusted in real time, the state misjudgment problem caused by high-frequency harmonic interference and electrochemical impedance coupling is effectively solved, and the battery charging performance and the long-term reliability are improved.

The invention relates to the technical field of power supply management, in particular to a flywheel energy storage and storage battery hybrid UPS coordination management system and method, and the method comprises the steps: collecting the operation state data of a flywheel energy storage unit and a storage battery unit according to a preset collection frequency; predicting flywheel energy storage and energy supply control input of a storage battery in a future time window based on the acquired running state data of the flywheel energy storage unit and the storage battery unit, and generating a corresponding control time sequence; acquiring a power supply overall efficiency parameter in the corresponding time window under the corresponding control time sequence; the control time sequence is optimized by analyzing changes of power supply overall efficiency parameters, and the charging and discharging processes of the flywheel energy storage unit and the storage battery are managed in a coordinated mode.

The invention provides a multi-mode satellite terminal power supply adaptive management method. The method comprises the following steps: S1, acquiring an operation state and resource sensing data of a satellite terminal power supply; obtaining business demand data; s2, determining a plurality of working modes corresponding to the satellite terminal power supply based on the operation state and the resource sensing data; s3, based on the plurality of working modes, determining total power consumption corresponding to the plurality of working modes; s4, determining a satellite terminal power management optimization strategy based on the total power consumption, the operation state, the resource sensing data and the service demand data; s5, adjusting a satellite terminal power supply control instruction in a corresponding working mode by adopting a satellite terminal power supply management optimization strategy; judging whether the system operation parameters of the satellite terminal power supply meet preset change conditions or not; and if yes, repeating the steps S1-S5. Signal abrupt change is responded in real time through a closed-loop feedback mechanism, the sensing and decision-making process is cyclically updated, and self-adaptive balance of energy efficiency, communication quality and battery life in a complex scene is achieved.

The invention relates to the technical field of vehicle power supply management, in particular to a vehicle load power supply distribution method, device and equipment and a storage medium, according to the scheme, a vehicle using scene at the current moment is determined by analyzing vehicle operation data, and the load levels of a plurality of electric appliances in use are determined by combining a vehicle using scene-load level mapping table; and a power supply distribution scheme is formulated, on-demand power supply for each electricity load of the vehicle is realized, and meanwhile, a user is allowed to customize load grade setting of a vehicle using scene. According to the scheme, through reasonable distribution of power supply, the power supply proportion of each load can be adjusted in real time according to the vehicle use scene on the premise of ensuring normal operation of key functions of the vehicle, so that the operation efficiency and stability of the vehicle are improved, it can be ensured that each electricity load obtains proper power supply in different scenes, the energy utilization efficiency is improved, and the energy consumption is reduced. The personalized electricity demand of the user is met, the driving experience of the user is improved, and the intelligent level of the vehicle is improved.

The invention discloses an automatic price inquiry and comparison supply management system based on the price and address of a supplier, particularly relates to the field of price inquiry and comparison supply management, and is used for solving the problems of geographic information lag and insufficient matching between the supplier and a purchasing unit in the existing traditional supply chain management. The method comprises the following steps: analyzing supplier addresses into standardized geographic information, carrying out clustering and region division on suppliers based on geographic distribution, retrieving a region where a purchasing unit is located, associating the region with the position of a related supplier, defining a purchasing mode, generating a multi-dimensional logistics network topological graph, and carrying out real-time optimization and evaluation on a transportation path. The supplier price trend is dynamically predicted based on historical price data and market fluctuation, a prediction model is adjusted in combination with real-time data, and an optimal supplier list is generated according to a preset purchase scene and a multi-dimensional constraint condition, so that accurate and efficient supply chain decision is realized.

The invention discloses a high-throughput satellite communication terminal system, which comprises a radio frequency channel unit, a signal processing unit, a terminal processing unit, a power supply management unit and an anti-electromagnetic interference module, and is characterized in that the radio frequency channel unit carries an agile device and a power amplifier and is used for realizing bidirectional conversion between a baseband signal and a radio frequency signal; communication frequencies of a Ka frequency band, a valley value of 5GHz and a peak value of 40GHz are supported, a zero intermediate frequency receiver structure is adopted, image frequency interference is eliminated through one-time frequency conversion to a baseband, and a high-integration design that a radio frequency signal directly enters a frequency mixer after passing through an antenna, a radio frequency filter and a low-noise amplifier is realized. According to the high-throughput satellite communication terminal system, the coverage problem of traditional communication in a blind area of a power grid is solved, safe, efficient and stable transmission of power data is realized, the emergency communication capability and the equipment environment adaptability are remarkably improved, and key technical support is provided for constructing global visual monitoring and intelligent scheduling of the digital power grid.

The embodiment of the invention discloses a power supply management system and method and a mooring unmanned aerial vehicle. The power supply management system comprises an airborne power supply, a lithium battery and a current detection module. The airborne power supply is used for supplying power to the mooring unmanned aerial vehicle and charging a lithium battery mounted on the mooring unmanned aerial vehicle; the lithium battery is used for supplying power to the mooring unmanned aerial vehicle when the airborne power supply is abnormal in power supply; the current detection module is used for detecting the charging current when the airborne power supply charges the lithium battery and feeding back the charging current to the airborne power supply to adjust the output voltage of the airborne power supply. According to the technical scheme provided by the embodiment of the invention, when the airborne power supply is abnormal, the lithium battery supplies power to the mooring unmanned aerial vehicle, so that air crash of the mooring unmanned aerial vehicle due to sudden power failure is prevented. And the charging current of the lithium battery is detected through the current detection module, and the airborne power supply reduces the self output voltage to charge the lithium battery, so that the lithium battery is prevented from being damaged by overlarge charging voltage, and the lithium battery does not need to be disassembled in the charging process.

Embodiments of the present application disclose an electronic device, a power supply management method, and a system-on-chip (SOC). The device comprises a SOC, a power management unit (PMU), a sensor module, and a peripheral device, the SOC comprises a first power domain and a second power domain, and the PMU is used for supplying power to the first power domain and the second power domain in the SOC. The SOC is used for communicating with the sensor module by means of the first power domain and communicating with the peripheral device by means of the second power domain. The PMU is further used for, when a first shutdown command sent by the SOC is received, controlling the first power domain to enter a first power supply state and controlling the second power domain to enter a second power supply state. By using the electronic device in the present application, the unlocking efficiency after startup or restart can be improved while ensuring low power consumption.

The invention discloses a command vehicle rack-mounted power supply management system, and the system comprises a power supply filtering module which carries out the filtering of power supply input, and removes the high-frequency electromagnetic interference possibly carried by a power line; the electromagnetic shielding module is used for shielding electromagnetic radiation inside and outside the system; the grounding management module is used for providing a unified grounding point of the system and ensuring that all electrical connections have the same potential so as to reduce electromagnetic interference generated by the difference of the grounding point; the signal transmission optimization module is used for ensuring that signal transmission channels inside and outside the system are not influenced by electromagnetic interference; the electromagnetic interference suppression module is used for suppressing transient high-frequency interference generated in the system; and the environment monitoring and feedback module is used for monitoring electromagnetic environments inside and outside the rack in real time and automatically adjusting an EMC protection strategy of the system according to monitoring data so as to adapt to different working conditions. The command vehicle can adapt to a complex electromagnetic environment and ensure stable operation of equipment in the command vehicle.

According to the heterogeneous multi-core chip power consumption state control system and the heterogeneous multi-core chip provided by the invention, the power consumption state request of each sub power supply domain is received through the set system hardware power consumption management module, and the driving signal is sent to the corresponding sub power supply domain according to the preset hardware time sequence, so that the corresponding sub power supply domain enters the target state; generating a PMU control signal; and the power management module drives an internal voltage regulator to execute corresponding regulation operation according to the PMU control signal. A special control processor (SCP) is not needed, the system hardware power consumption management module realized by pure hardware is adopted to directly control the power consumption state of each sub power supply domain in the heterogeneous multi-core SoC, the software processing delay is eliminated, the response speed is high, the static power consumption of the power consumption management module is remarkably reduced, and the system is particularly suitable for an ultra-low power consumption scene and has a wide application prospect. And hardware-level surge current protection is realized in a multi-core power-on process.

The invention discloses a power supply intelligent management control system, and relates to the technical field of power supply management, and the system comprises a power supply processing module which is used for accessing and transmitting AC electric energy and carrying out voltage reduction, rectification filtering, inversion and transformation processing; the current sampling module is used for current sampling control, signal conversion and amplification filtering; the voltage comparison module is used for setting an overvoltage threshold value, comparing the overvoltage threshold value with the voltage and detecting the shunting degree; the power taking processing module is used for converting, amplifying and filtering the shunted sampling signals, and rectifying and storing the shunted sampling signals; the intelligent control module is used for signal receiving and module control; the electric energy adjusting module is used for adjusting voltage; and the output processing module is used for outputting filtering and electric energy superposition processing and supplying power to the output module. The intelligent management control system for the power supply can provide voltage stabilization and perform shunt power taking work and electric energy processing when a sampled signal is greater than a set threshold value, so that the safety of the system can be improved, and energy-saving power supply control can also be performed.

The invention relates to the field of harbor district power supply management monitoring, in particular to an integrated monitoring system suitable for harbor district power supply management, which comprises a power dispatching centralized control module, a monitoring module, an inspection module and an information management module for processing information transmitted by the monitoring module and the inspection module, through the information management module, the power dispatching centralized control module, the inspection module and the information management module, substation equipment operation, robot, map and other information and inspection information are obtained, and AI identification perception analysis and the Internet of Things technology are adopted; intelligent inspection functions such as main and auxiliary equipment fault signal intelligent linkage, remote inspection perception, equipment state intelligent analysis and the like are realized, the working efficiency of operation and maintenance personnel is effectively improved, the labor intensity is reduced, the safety guarantee is improved, meanwhile, the state management and control of substation equipment are enhanced, remote intelligent inspection and online monitoring of the equipment are realized, and an inspection report is issued; indirect work investment resources are reduced, and production and management efficiency is improved digitally.

The invention belongs to the technical field of space photoelectric detection, and provides a high-precision tracking and pointing system and method capable of autonomously formulating an observation task in orbit. The system comprises an information processing unit, a power supply management unit, a task management unit, a thermal control unit, a GNSS unit, a star sensor unit, a gyroscope unit, a tracking and pointing calculation unit and a servo turntable unit. The system can receive a platform instruction, integrate information of sensors such as a GNSS, a star sensor and a gyroscope, calculate the accurate position of a tracked celestial body, and adjust the direction of a servo turntable in real time so as to accurately track a target. The working method comprises the steps of system starting and initializing, observation task making, tracking and aiming mode preparing, aiming direction correcting, observation target tracking and aiming, exception handling and the like. The system can realize high-precision observation of a celestial body target without depending on attitude adjustment of a spacecraft platform, improves the observation efficiency and reliability, and is suitable for observation of celestial bodies such as pulsar on a space station platform.

The invention discloses a grease lubrication friction electricity passive wireless rotating speed sensor for bearing slip monitoring, which comprises two bearing seat cover bodies for mounting a bearing body, a friction nanometer generator, a signal processing module and a power supply management module, and is characterized in that the friction nanometer generator consists of a rotor unit and a stator unit; the inner ring surface of the bearing body is fixedly connected with a rotating shaft, and the rotating shaft can sequentially drive the bearing retainer and the rotor unit to rotate so as to output electric energy. The rotor unit and the stator unit are arranged, an interface grease lubrication strategy is utilized, the energy supply level and durability of the friction nanometer generator are improved at the same time, and wireless real-time monitoring of the slipping state of the bearing body in a compact space in a transmission system can be achieved without the help of an external power source; the working reliability and the intelligent operation and maintenance level of mechanical equipment are improved, and high-performance operation of high-end equipment is further guaranteed.

The embodiment of the invention provides an intelligent electric precipitation system. The intelligent electric precipitation system comprises a power management module, a working condition sensing module, a dynamic optimization module and a cooperative control module, the power supply management module comprises a high-frequency power supply unit and a power-frequency power supply unit, and the high-frequency power supply unit adopts a full-bridge series-parallel hybrid resonance circuit; the working condition sensing module is configured with a distributed sensor network; the dynamic optimization module establishes a multi-objective optimization model; the cooperative control module realizes a four-level control architecture; the system realizes optimal balance of dust removal efficiency and energy consumption by collecting working condition parameters in real time and dynamically adjusting working parameters of a power supply. According to the intelligent electric dust removal system, through a hybrid power supply framework, a multi-sensor network and four-stage cooperative control, the dust removal efficiency is improved, and the equipment reliability and the intelligent level are improved.

The invention provides a plastic tray management method, system and device and a storage medium, and relates to the technical field of supply management, and the method comprises the steps: predicting the first demand of a plastic tray in a second preset time according to the use data of the plastic tray in a first preset time of a target enterprise; obtaining a time interval corresponding to the second preset duration, and determining a season parameter corresponding to the time interval; determining an industry fluctuation coefficient of the target enterprise in a second preset duration according to the season parameter, and adjusting the first demand quantity according to the industry fluctuation coefficient to obtain a second demand quantity; according to the historical order data and the customer cooperation data of the target enterprise in the first preset duration, generating an order prediction quantity of the target enterprise in a second preset duration; and adjusting the second demand quantity according to the order pre-quantity to obtain a target demand quantity, and generating a supplement plan of the plastic tray according to the target demand quantity. The method has the technical effect that the demand quantity of the plastic trays is accurately predicted.

The invention relates to a ship power supply management method based on a particle swarm algorithm. The method comprises the steps of constructing a sample set R, outputting a load prediction curve function based on current data, executing genetic algorithm global coarse search, searching an elite solution set P, executing particle swarm fine search, and judging whether continuous G generations in the particle swarm fine search update an optimal solution gbest or not. According to the ship power supply management method based on the particle swarm algorithm, through cooperation of genetic algorithm global coarse search and particle swarm fine search, high-dimensional space coverage and fine optimization precision are considered, compared with a single particle swarm algorithm search mode, the efficiency is higher, multi-target weight dynamic adjustment is matched, and the power supply efficiency is improved. According to the method, the single deviation that efficiency neglects cost preferentially or cost neglects stability preferentially is avoided, and a catastrophe mechanism and a closed-loop iteration mode are adopted to adapt to ship dynamic working conditions, so that the problems that high-dimensional space search efficiency is low, local extremum is easy to sink, and multi-target optimization deviates to a single target are solved.

The embodiment of the invention discloses an electronic device, a power supply management method and an SOC (System on Chip), the device comprises the SOC, a PMU (Power Management Unit), a sensor module and a peripheral, the SOC comprises a first power domain and a second power domain, and the PMU is used for supplying power to the first power domain and the second power domain in the SOC; the SOC is used for communicating with the sensor module through the first power supply domain and communicating with the peripheral through the second power supply domain; and the PMU is also used for controlling the first power supply domain to enter a first power supply state and controlling the second power supply domain to enter a second power supply state under the condition of receiving a first shutdown command sent by the SOC. According to the electronic device provided by the invention, the unlocking efficiency after startup or restart can be improved on the premise of ensuring low power consumption.

The invention belongs to the technical field of automobile electronic manufacturing / chip burning, relates to an automobile PMIC chip burner, a burner system and a burning method, and aims to solve the problems of high system complexity and cost, low burning efficiency, insufficient reliability, insufficient safety, low production line automation degree and the like in the existing chip burning technology. The whole burning process is directly coordinated / controlled through the main control unit, an intermediate conversion link is eliminated, and the system complexity and the equipment cost are reduced; instruction conversion is carried out through the interface conversion module so as to be compatible with various types of chips; the power supply management module adopts dual-power input, the target connection interface ensures reliable physical electrical connection with the PMIC chip, the state indication module feeds back the burning state and error information in real time, and the man-machine interaction experience is improved. The device universality and the automation degree of a production line are remarkably improved, cost is low, compatibility is high, burning efficiency is high, the device is suitable for a burning system deployed on site, and the harsh requirement for zero defect of the vehicle gauge level is met.

The utility model discloses outdoor operation equipment which comprises a battery bin with an opening, the battery bin comprises a bottom plate and a plurality of side plates arranged on the bottom plate in a surrounding mode, and at least one side plate is provided with a first terminal; the battery pack is provided with a second terminal, the battery pack is configured to be detachably assembled in the battery compartment along the opening, and when the battery pack is assembled in the battery compartment, the second terminal is in electric signal connection with the first terminal; the power management device is connected with the first terminal through a wire harness, a first voltage reduction module is arranged in the power management device, and the first voltage reduction module can obtain the voltage of the battery pack and perform voltage reduction processing; and the cooling fan is arranged on the side plate and is connected with the power supply management device through a wire harness, the cooling fan can obtain the electric energy of the battery pack subjected to the voltage reduction processing of the first voltage reduction module, and the battery pack can be cooled through the operation of the cooling fan. According to the outdoor operation equipment, wire harnesses connected to the battery bin, the cooling fan and the power management device can be saved, and the overall layout is more reasonable.